• DocumentCode
    172229
  • Title

    Moving Business Intelligence to cloud environments

  • Author

    Juan-Verdejo, Adrian ; Surajbali, Bholanathsingh ; Baars, Henning ; Kemper, Hans-Georg

  • Author_Institution
    CAS Software A.G., Karlsruhe, Germany
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    43
  • Lastpage
    48
  • Abstract
    Business Intelligence systems use information technology to supply integrated management support with data coming from several sources of structured and unstructured data. The integrated infrastructures of Business Intelligence (BI) are often too complex and hence costly and inflexible. A solution for these issues is to leverage cloud computing services to enhance legacy BI systems and applications with cost-efficient increased scalability and flexibility. However, the migration of BI systems to cloud environments is usually hindered by strict requirements regarding privacy, security, or availability and a multitude of interdependences with other systems. In this paper, we describe the challenges in the adoption of BI within cloud environments and propose a cloud migration framework to assist decision makers in taking into account the consequences of the migration of BI systems to cloud environments as well as the impact of privacy, security, cost, and performance in so doing.
  • Keywords
    cloud computing; competitive intelligence; data privacy; security of data; availability; business intelligence; cloud computing services; cloud environments; cloud migration framework; information technology; legacy BI systems; privacy; security; Bismuth; Cloud computing; Conferences; Customer relationship management; Security; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2014.6849166
  • Filename
    6849166